/*****************************************************************************\ | ( )_ _ | | _ _ _ __ _ _ __ ___ ___ _ _ | ,_)(_) ___ ___ _ | | ( '_`\ ( '__)/'_` ) /'_ `\/' _ ` _ `\ /'_` )| | | |/',__)/' _ `\ /'_`\ | | | (_) )| | ( (_| |( (_) || ( ) ( ) |( (_| || |_ | |\__, \| ( ) |( (_) ) | | | ,__/'(_) `\__,_)`\__ |(_) (_) (_)`\__,_)`\__)(_)(____/(_) (_)`\___/' | | | | ( )_) | | | (_) \___/' | | | | General Bots Copyright (c) Pragmatismo.io. All rights reserved. | | Licensed under the AGPL-3.0. | | | | According to our dual licensing model, this program can be used either | | under the terms of the GNU Affero General Public License, version 3, | | or under a proprietary license. | | | | The texts of the GNU Affero General Public License with an additional | | permission and of our proprietary license can be found at and | | in the LICENSE file you have received along with this program. | | | | This program is distributed in the hope that it will be useful, | | but WITHOUT ANY WARRANTY, without even the implied warranty of | | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the | | GNU Affero General Public License for more details. | | | | "General Bots" is a registered trademark of Pragmatismo.io. | | The licensing of the program under the AGPLv3 does not imply a | | trademark license. Therefore any rights, title and interest in | | our trademarks remain entirely with us. | | | \*****************************************************************************/ "use strict"; const logger = require("../../../src/logger"); import { GBCoreService } from "./GBCoreService"; import { IGBConversationalService } from "botlib"; import { GBMinInstance } from "botlib"; import { LuisRecognizer } from "botbuilder-ai"; import { MessageFactory } from "botbuilder"; import { Messages } from "../strings"; import { AzureText } from "pragmatismo-io-framework"; import { any } from "bluebird"; const Nexmo = require("nexmo"); export interface LanguagePickerSettings { defaultLocale?: string; supportedLocales?: string[]; } export class GBConversationalService implements IGBConversationalService { coreService: GBCoreService; constructor(coreService: GBCoreService) { this.coreService = coreService; } getCurrentLanguage(step: any) { return step.context.activity.locale; } async sendEvent(step: any, name: string, value: any): Promise { if (step.context.activity.channelId === "webchat") { const msg = MessageFactory.text(""); msg.value = value; msg.type = "event"; msg.name = name; return step.context.sendActivity(msg); } } async sendSms( min: GBMinInstance, mobile: string, text: string ): Promise { return new Promise((resolve, reject) => { const nexmo = new Nexmo({ apiKey: min.instance.smsKey, apiSecret: min.instance.smsSecret }); nexmo.message.sendSms( min.instance.smsServiceNumber, mobile, text, (err, data) => { if (err) { reject(err); } else { resolve(data); } } ); }); } async routeNLP(step: any, min: GBMinInstance, text: string): Promise { // Invokes LUIS. const model = new LuisRecognizer({ applicationId: min.instance.nlpAppId, endpointKey: min.instance.nlpKey, endpoint: min.instance.nlpEndpoint }); let nlp: any; try { nlp = await model.recognize(step.context); } catch (error) { if (error.statusCode == 404){ logger.warn ('NLP application still not publish and there are no other options for answering.') return Promise.resolve(false); } else{ let msg = `Error calling NLP server, check if you have a published model and assigned keys on the service. Error: ${ error.statusCode ? error.statusCode : "" } ${error.message}`; return Promise.reject(new Error(msg));} } // Resolves intents returned from LUIS. let topIntent = LuisRecognizer.topIntent(nlp); if (topIntent) { var intent = topIntent; var entity = nlp.entities && nlp.entities.length > 0 ? nlp.entities[0].entity.toUpperCase() : null; if (intent === "None") { return Promise.resolve(false); } logger.info("NLP called:" + intent + ", " + entity); try { await step.replace("/" + intent, nlp.entities); return Promise.resolve(true); } catch (error) { let msg = `Error finding dialog associated to NLP event: ${intent}: ${ error.message }`; return Promise.reject(new Error(msg)); } } return Promise.resolve(false); } async checkLanguage(step, min, text) { let locale = await AzureText.getLocale( min.instance.textAnalyticsKey, min.instance.textAnalyticsEndpoint, text ); if (locale != step.context.activity.locale.split("-")[0]) { switch (locale) { case "pt": step.context.activity.locale = "pt-BR"; await step.context.sendActivity(Messages[locale].changing_language); break; case "en": step.context.activity.locale = "en-US"; await step.context.sendActivity(Messages[locale].changing_language); break; default: await step.context.sendActivity(`Unknown language: ${locale}`); break; } } } }